Collaborative mapping

Collaborative mapping, also known as citizen mapping,[1] is the aggregation of Web mapping and user-generated content,[2] from a group of individuals or entities, and can take several distinct forms. With the growth of technology for storing and sharing maps, collaborative maps have become competitors to commercial services, in the case of OpenStreetMap, or components of them, as in Google Map Maker, Waze and Yandex Map Editor.

Volunteers collect geographic information and the citizens/individuals can be regarded as sensors within a geographical environment that create, assemble, and disseminate geographic data provided voluntarily by the individuals.[2][3] Collaborative mapping is a special case of the larger phenomenon known as crowd sourcing, that allows citizens to be part of collaborative approach to accomplish a goal. The goals in collaborative mapping have a geographical aspect, e.g. having a more active role in urban planning. Especially when data, information, knowledge is distributed in a population and an aggregation of data is not available, then collaborative mapping can bring a benefit for the citizens or activities in a community with an e-Planing Platform.[4] Extensions of critical and participatory approaches to geographic information systems combines software tools with a joint activities to accomplish a community goal.[5] Additionally, the aggregated data can be used for a Location-based service like available public transport options at the geolocation where a mobile device is currently used (GPS-sensor). The relevance for the user at a specific geolocation cannot be represented with logic value in general (relevant=true/false). The relevance can be represented with Fuzzy-Logic or a Fuzzy architectural spatial analysis.[6]

  1. ^ Swift, Mike (June 20, 2010). "Volunteers create new digital maps". Lansing State Journal. MCT News Service. pp. 4E. Retrieved October 31, 2022 – via Newspapers.com.
  2. ^ a b Goodchild, M.F. (2007). "Citizens as sensors: the world of volunteered geography". GeoJournal. 69 (4): 211–221. CiteSeerX 10.1.1.525.2435. doi:10.1007/s10708-007-9111-y. S2CID 2105836.
  3. ^ Sangiambut, Suthee; Sieber, Renee (2016-07-12). "The V in VGI: Citizens or Civic Data Sources" (PDF). Urban Planning. 1 (2): 141–154. doi:10.17645/up.v1i2.644.
  4. ^ Steiniger, Stefan; Poorazizi, M. Ebrahim; Hunter, Andrew (2016-06-20). "Planning with Citizens: Implementation of an e-Planning Platform and Analysis of Research Needs". Urban Planning. 1 (2): 46–64. doi:10.17645/up.v1i2.607.
  5. ^ Elwood, S. (2008). "Volunteered Geographic Information: Future Research Directions Motivated by Critical, Participatory, and Feminist GIS". GeoJournal. 72 (3&4): 173–183. CiteSeerX 10.1.1.464.751. doi:10.1007/s10708-008-9186-0. S2CID 31556791.
  6. ^ Ricker, B., Daniel, S. and Hedley, N. (2014) ‘Fuzzy Boundaries: Hybridizing Location-based Services, Volunteered Geographic Information and Geovisualization Literature’, Geography Compass, 8(7). doi: 10.1111/gec3.12138